Looking for an enthusiastic PhD candidate willing to work at the interface between urban computing and machine / deep learning. The candidate will focus the efforts in the integration of multiple data sources (social media / ground photography / aerial imaging) to model perception of urban changes and liveability with deep learning tools. Particular attention will be paid to the interpretability of the models developed.

Requirements include:
– completed masters degree in Geo-Information Science, Computer Vision or similar, with a high degree of specialization in processing of geospatial data. – Good numerical skills and literacy in programming are required (Matlab or Python coding, C/C++ is an asset).
– A good standard of written and spoken English is required.